Identifying lines that touch the edges of a polygon using sf package
I am doing spatial joins using the sf package in R. Specifically, I am attempting to find the roads (lines) that represent the borders of each census tract (polygons) in NJ. Note: for many census tracts in NJ, the borders of census tracts are all roads.
Identifying lines that touch the edges of a polygon using sf package
I am doing spatial joins using the sf package in R. Specifically, I am attempting to find the roads (lines) that represent the borders of each census tract (polygons) in NJ. Note: for many census tracts in NJ, the borders of census tracts are all roads.
Identifying lines that touch the edges of a polygon using sf package
I am doing spatial joins using the sf package in R. Specifically, I am attempting to find the roads (lines) that represent the borders of each census tract (polygons) in NJ. Note: for many census tracts in NJ, the borders of census tracts are all roads.
Identifying lines that touch the edges of a polygon using sf package
I am doing spatial joins using the sf package in R. Specifically, I am attempting to find the roads (lines) that represent the borders of each census tract (polygons) in NJ. Note: for many census tracts in NJ, the borders of census tracts are all roads.
Error when intersecting 2 sf objected which have the same CRS
I have two spatial SF objects:
How do I create a variable based on features of other cases within a certain geographipcal distance based on lat/lon
I am doing an analysis of how neighbouring organizations influence each other in regards to their innovativeness. I have a dataset containing, among other things, values for an Innovation Index and Lat/Lon data. I need to get the mean value of the Index for all cases within a certain distance, say 50 km.
Longitude and latitude data from “searching engine” is not drawing a map using R maps/mapdata/ggplot packages
I am trying to draw a map for all province within Egypt using maps and ggplot2 package in R, but I did not find any sub-region (provinces) for Egypt available in the databases of these packages.
So, I downloaded coordinates (longitude and latitude) for all provinces in Egypt from google (and other website), and tried to generate the map, but it gave me a totally crumbled picture which is definitely not Egypt’ provinces. This made me think that the coordinates from a searching engine (e.g. google) is not like the one used by R. I do understand that R is dealing with coordinates in +ve and negative values, whereas public databases is not. Do I need to convert it somehow to a “R” format ?
Could any of you suggest a way around this, especially I did not find Egypt’s province long/lat in the databases of R packages ?